The course is a practical and theoretical introduction to the history of Artificial Intelligence, machine learning and neural networks that is accessible and recommended also to first-year students. The course includes theoretical and practical classes to install and use basic neural networks for object and image recognition and for the generation of simple works (as texts, images, 3D objects and music).
The course will frame AI techniques in the larger history of media, art and culture, discussing their very recent impact on collective perception, product design and artistic creativity.
A certificate (Schein) is possible on the topics of media theory and history of AI. Students can a) make a project presentation in class and write a short essay (10 pages), or b) write an extensive essay (20 pages). All materials will be shared via Dropbox and in German translation where available.
Colloquia hours will be reserved for advanced projects by students that are already familiar with such techniques since the previous semesters. The course will be followed by a reading group on the last literature on machine learning that is organised in collaboration and in student exchange with KIT Karlsruhe.
Prof. Dr. Matteo Pasquinelli
Course assistant/HiWi: Marco Kempf
Mondays 15:00-18:00 / Room: 115.
Reading Group 18:00 -20:00 / Room 115.
Fortnightly, 14-täglich! First class: 29 April 2019.